A New Benchmark Model for the Automated Detection and Classification of a Wide Range of Heavy Construction Equipment-Reference-Cited by-同舟云学术

A New Benchmark Model for the Automated Detection and Classification of a Wide Range of Heavy Construction Equipment

Published:2024-03 Issue:2 Volume:40 Page:
ISSN:0742-597X
Container-title:Journal of Management in Engineering
language:en
Short-container-title:J. Manage. Eng.

Author:

Shin Yejin¹,Choi Yujin¹,Won Jaeseung²,Hong Taehoon³^ORCID,Koo Choongwan⁴^ORCID

Affiliation:

1. Research Assistant, Division of Architecture and Urban Design, Incheon National Univ., Incheon 22012, Republic of Korea.

2. Research Assistant, Dept. of Artificial Intelligence, Sogang Univ., Seoul 04107, Republic of Korea.

3. Underwood Distinguished Professor, Dept. of Architecture and Architectural Engineering, Yonsei Univ., Seoul 03722, Republic of Korea. ORCID: .

4. Associate Professor, Division of Architecture and Urban Design, Incheon National Univ., Incheon 22012, Republic of Korea (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management Science and Operations Research,Strategy and Management,General Engineering,Industrial relations,Building and Construction

Link

https://ascelibrary.org/doi/pdf/10.1061/JMENEA.MEENG-5630

Reference37 articles.

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4. Blue S. T. and M. Brindha. 2019. “Edge detection based boundary box construction algorithm for improving the precision of object detection in YOLOv3.” In Proc. 2019 10th Int. Conf. on Computing Communication and Networking Technologies (ICCCNT) 1–5. New York: IEEE.

5. Automatic analysis of idling in excavator’s operations based on excavator-truck relationships;Chen C.;Autom. Rob. Constr.,2020

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